Fault detection and classification of an HVDC transmission line using a heterogenous multi‐machine learning algorithm
Abstract This paper presents a novel integrated multi‐Machine Learning (ML) system architecture for the protection of bipolar HVDC transmission line in which different ML models of Support Vector Machine (SVM) and K‐Nearest Neighbours (KNN) are used for fault detection and classification. The KNN fa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-08-01
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| Series: | IET Generation, Transmission & Distribution |
| Online Access: | https://doi.org/10.1049/gtd2.12180 |